Geehoon Chung

41 total papers · 670 total citations
29 papers, 435 citations indexed

About

Geehoon Chung is a scholar working on Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Geehoon Chung has authored 29 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 14 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Geehoon Chung's work include Pain Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (12 papers) and Ion channel regulation and function (4 papers). Geehoon Chung is often cited by papers focused on Pain Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (12 papers) and Ion channel regulation and function (4 papers). Geehoon Chung collaborates with scholars based in South Korea, United States and Ethiopia. Geehoon Chung's co-authors include Sang Jeong Kim, Sun Kwang Kim, Yu Kyeong Kim, Hee-Jin Jeong, Yong Ho Kim, Alexander J. Davies, Sung Jun Jung, Heung Sik Na, Joong Soo Kim and Seung Keun Back and has published in prestigious journals such as Neuron, Journal of Neuroscience and NeuroImage.

In The Last Decade

Geehoon Chung

28 papers receiving 431 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Geehoon Chung 238 162 99 78 74 29 435
Wataru Taniguchi 308 1.3× 183 1.1× 96 1.0× 45 0.6× 89 1.2× 24 470
Yu Mao 212 0.9× 162 1.0× 74 0.7× 47 0.6× 114 1.5× 20 445
Thomas A. Szabo-Pardi 266 1.1× 159 1.0× 101 1.0× 90 1.2× 29 0.4× 20 457
Wenjie Zhou 199 0.8× 155 1.0× 96 1.0× 54 0.7× 96 1.3× 19 424
Ivan José Magayewski Bonet 224 0.9× 155 1.0× 84 0.8× 30 0.4× 18 0.2× 28 446
Fang Luo 233 1.0× 204 1.3× 156 1.6× 25 0.3× 83 1.1× 23 445
Neil C. Ford 193 0.8× 103 0.6× 80 0.8× 48 0.6× 31 0.4× 20 373
Jitendra Singh 141 0.6× 192 1.2× 159 1.6× 32 0.4× 38 0.5× 48 465
Thomas Lorivel 121 0.5× 142 0.9× 127 1.3× 89 1.1× 46 0.6× 19 414
Brian Turnquist 301 1.3× 153 0.9× 104 1.1× 19 0.2× 48 0.6× 16 435

Countries citing papers authored by Geehoon Chung

Since Specialization
Citations

This map shows the geographic impact of Geehoon Chung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Geehoon Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geehoon Chung more than expected).

Fields of papers citing papers by Geehoon Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geehoon Chung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Geehoon Chung. The network helps show where Geehoon Chung may publish in the future.

Co-authorship network of co-authors of Geehoon Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Geehoon Chung. A scholar is included among the top collaborators of Geehoon Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geehoon Chung. Geehoon Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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